DevOps Automation Engineer
Weekday AI (company site, opens in a new tab)3+ yrsRemoteDirect career pageEst. 20–30 LPA
Posted 20h ago
Reach people at Weekday AI
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Weekday AI you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Automate manual and error-prone engineering operations including infrastructure, CI/CD pipelines, and security workflows using AI-assisted tools.
- Design, maintain, and optimize cloud-native infrastructure as code (Terraform) and CI/CD pipelines focusing on reliability, security, and scalability.
- Collaborate with distributed US and India teams to establish reusable automation standards and improve developer productivity and production reliability.
Minimum Requirements
- Minimum 3 years of experience building/supporting production SaaS platforms.
- Hands-on AWS experience (EC2, ECS/EKS, S3, IAM, VPC, RDS, CloudWatch) for at least 2 years.
- Proficiency in Infrastructure as Code tools (Terraform, OpenTofu, Pulumi, CloudFormation, CDK) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience.
Ideal Candidate Profile
- Experienced in automating cloud infrastructure and CI/CD pipelines with strong system design and troubleshooting capabilities in production environments.
- Skilled in AI coding agents and agentic workflows with critical review ability for security and correctness of generated code.
- Comfortable collaborating across time zones with US and India distributed teams and adhering to evening meeting schedules.